NVIDIA P104 101
About GPU
The NVIDIA P104 101 GPU is a powerful and efficient graphics card designed for desktop use. With a base clock speed of 1506MHz and a boost clock speed of 1683MHz, this GPU offers fast and reliable performance for a variety of computing tasks. The 4GB of GDDR5 memory and a memory clock speed of 2002MHz provide ample memory bandwidth for handling complex visual and computational workloads.
With 2560 shading units and 2MB of L2 cache, the P104 101 GPU can efficiently process and render high-resolution images and videos, making it an excellent choice for gaming, video editing, and 3D rendering applications. The GPU's TDP of 125W ensures that it can operate at maximum performance without consuming excessive power.
The theoretical performance of 8.617 TFLOPS indicates that the P104 101 GPU can handle demanding computational tasks with ease, making it suitable for use in professional workstations as well as gaming rigs. Its robust specifications and efficient design make it a reliable and versatile graphics card for a wide range of applications.
Overall, the NVIDIA P104 101 GPU offers exceptional performance, reliable operation, and efficient power consumption, making it an excellent choice for users seeking a high-quality graphics card for desktop computing. Whether used for gaming, content creation, or professional visualization, this GPU delivers the performance and reliability needed to tackle demanding workloads.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
January 2018
Model Name
P104 101
Generation
Mining GPUs
Base Clock
1506MHz
Boost Clock
1683MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
Memory Type
GDDR5
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
256bit
Memory Clock
2002MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
256.3 GB/s
Theoretical Performance
Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
107.7 GPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
269.3 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.
134.6 GFLOPS
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
269.3 GFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
8.445
TFLOPS
Miscellaneous
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
20
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
2560
L1 Cache
48 KB (per SM)
L2 Cache
2MB
TDP
125W
Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
1.3
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
8.445
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS